#nhanes — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #nhanes, aggregated by home.social.
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https://www.europesays.com/it/619809/ Il sonno perduto si può recuperare? Il segnale osservato su 85 mila persone #DebitoDiSonno #Health #IT #Italia #Italy #mortalità #NatureCommunications #NHANES #RecuperoDelSonno #RestrizioneDelSonno #Salute #sonno #StatiUniti #StudioOsservazionale #UkBiobank
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https://www.europesays.com/it/605577/ Disfunzione erettile, non è solo stress: le cause più comuni e i segnali da ascoltare #ColesteroloAlto #diabete #DisfunzioneErettile #erezione #EuropeanAssociationOfUrology #Health #ipertensione #IT #Italia #Italy #NHANES #Obesità #Salute #SindromeMetabolica #UkBiobank
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https://www.europesays.com/it/595761/ Colesterolo, 21,5 milioni di americani in più diventano candidati alle statine #ColesteroloLdl #Health #ictus #infarto #IT #Italia #Italy #LineeGuidaAmericane2026 #NationalHealthAndNutritionExaminationSurvey #NHANES #PREVENT #RischioCardiovascolare #Salute #StatiUniti #statine
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https://www.europesays.com/it/584866/ La dieta che piace al microbiota può aiutare il cervello dopo i 60 anni #AnimalFluencyTest #CERAD #DIGM #DigitSymbolSubstitutionTest #EubacteriumVentriosum #Health #HongKong #IT #Italia #Italy #JournalOfAlzheimer’sDisease #NHANES #Salute #StatiUniti #TèVerde
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https://www.europesays.com/ie/187069/ Relationship between C-reactive protein triglyceride glucose index and cardiovascular disease risk: a cross-sectional analysis with machine learning | BMC Medical Informatics and Decision Making #CardiovascularDisease #CrossSectionalStudy #CTI #Éire #Health #HealthInformatics #IE #InformationSystemsAndCommunicationService #Ireland #MachineLearning #ManagementOfComputingAndInformationSystems #NHANES
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Boffins warn that #AI #papermills are swamping #science with garbage studies
The team from University of Surrey notes an "explosion of formulaic research articles," including inappropriate study designs and false discoveries, based on data cribbed from the #US #NHANES nationwide health database.
The study, published in PLOS Biology, a nonprofit publisher of open-access journals, found that many post-2021 papers used "a superficial and oversimplified approach to analysis."
https://www.theregister.com/2025/05/13/ai_junk_science_papers/ -
Boffins warn that #AI #papermills are swamping #science with garbage studies
The team from University of Surrey notes an "explosion of formulaic research articles," including inappropriate study designs and false discoveries, based on data cribbed from the #US #NHANES nationwide health database.
The study, published in PLOS Biology, a nonprofit publisher of open-access journals, found that many post-2021 papers used "a superficial and oversimplified approach to analysis."
https://www.theregister.com/2025/05/13/ai_junk_science_papers/ -
Boffins warn that #AI #papermills are swamping #science with garbage studies
The team from University of Surrey notes an "explosion of formulaic research articles," including inappropriate study designs and false discoveries, based on data cribbed from the #US #NHANES nationwide health database.
The study, published in PLOS Biology, a nonprofit publisher of open-access journals, found that many post-2021 papers used "a superficial and oversimplified approach to analysis."
https://www.theregister.com/2025/05/13/ai_junk_science_papers/ -
Boffins warn that #AI #papermills are swamping #science with garbage studies
The team from University of Surrey notes an "explosion of formulaic research articles," including inappropriate study designs and false discoveries, based on data cribbed from the #US #NHANES nationwide health database.
The study, published in PLOS Biology, a nonprofit publisher of open-access journals, found that many post-2021 papers used "a superficial and oversimplified approach to analysis."
https://www.theregister.com/2025/05/13/ai_junk_science_papers/ -
#AI ready health datasets can be exploited to generate many research articles of limited scientific value. Stefan Stender & @jabyrnesci explore a @PLOSBiology study describing a sudden explosion in papers analyzing the #NHANES dataset. Paper: https://plos.io/3RWgNog Primer: https://plos.io/4iTxuvq
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#AI ready health datasets can be exploited to generate many research articles of limited scientific value. Stefan Stender & @jabyrnesci explore a @PLOSBiology study describing a sudden explosion in papers analyzing the #NHANES dataset. Paper: https://plos.io/3RWgNog Primer: https://plos.io/4iTxuvq
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#AI ready health datasets can be exploited to generate many research articles of limited scientific value. Stefan Stender & @jabyrnesci explore a @PLOSBiology study describing a sudden explosion in papers analyzing the #NHANES dataset. Paper: https://plos.io/3RWgNog Primer: https://plos.io/4iTxuvq
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#AI ready health datasets can be exploited to generate many research articles of limited scientific value. Stefan Stender & @jabyrnesci explore a @PLOSBiology study describing a sudden explosion in papers analyzing the #NHANES dataset. Paper: https://plos.io/3RWgNog Primer: https://plos.io/4iTxuvq
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#AI & national health databases offer opportunities, but can be exploited by unethical agents like #PaperMills. This study reveals an explosion of formulaic research articles, with inappropriate study designs & false discoveries, using data from US #NHANES resource @PLOSBiology https://plos.io/3RWgNog
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#AI & national health databases offer opportunities, but can be exploited by unethical agents like #PaperMills. This study reveals an explosion of formulaic research articles, with inappropriate study designs & false discoveries, using data from US #NHANES resource @PLOSBiology https://plos.io/3RWgNog
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#AI & national health databases offer opportunities, but can be exploited by unethical agents like #PaperMills. This study reveals an explosion of formulaic research articles, with inappropriate study designs & false discoveries, using data from US #NHANES resource @PLOSBiology https://plos.io/3RWgNog
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#AI & national health databases offer opportunities, but can be exploited by unethical agents like #PaperMills. This study reveals an explosion of formulaic research articles, with inappropriate study designs & false discoveries, using data from US #NHANES resource @PLOSBiology https://plos.io/3RWgNog
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U.S. evidence of worsening physical and mental health among younger generations suggest levels of disease/functional limitations and early death will increase, particularly among whites.
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U.S. evidence of worsening physical and mental health among younger generations suggest levels of disease/functional limitations and early death will increase, particularly among whites.
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Note to self: when building a health survey which is going to be compared to an existing survey*, design your questionnaire to be as similar as possible to the existing one, even if it's not the way you'd do it. This will save you a lot of trouble down the road lining up all the data.
Oh well. Live and learn.
* #NHANES, in case you were wondering, which of course you were. https://wwwn.cdc.gov/nchs/nhanes/
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Note to self: when building a health survey which is going to be compared to an existing survey*, design your questionnaire to be as similar as possible to the existing one, even if it's not the way you'd do it. This will save you a lot of trouble down the road lining up all the data.
Oh well. Live and learn.
* #NHANES, in case you were wondering, which of course you were. https://wwwn.cdc.gov/nchs/nhanes/